Run
57217

Run 57217

Task 1764 (Learning Curve) electricity Uploaded 12-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_J48(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_J48(2)_I10
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.977 ± 0.0018
Per class
Build CPU time
3.7182
Build memory
2341323430.04
F measure
0.9395 ± 0.0029
Per class
Kappa
0.8761 ± 0.0059
KB relative information score
0.8738 ± 0.0061
Mean absolute error
0.0612 ± 0.003
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9395 ± 0.0029
Per class
Predictive accuracy
0.9395 ± 0.0029
Prior entropy
0.9835 ± 0
Recall
0.9395 ± 0.0029
Per class
Relative absolute error
0.1253 ± 0.0061
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.2331 ± 0.0066
Root relative squared error
0.4716 ± 0.0133
SciMark benchmark
1711.0442